Title :
Poster: In silico microarray algorithm: Accurate and fast taxonomic profiling from short read sequences
Author :
Tagami, Tomoya ; Hachiya, Tsuyoshi ; Sakakibara, Yasubumi
Author_Institution :
Biosci. & Inf., Keio Univ., Yokohama, Japan
Abstract :
We here propose a novel algorithm that can accurately estimate taxonomic composition of microbial communities from massive amount of short read sequences (60-120 bp). Our accuracy evaluation based on simulated datasets demonstrated that our method achieves much higher accuracies than previously proposed methods including Taxy, Qin´s method and RDPClassifier. The source code is freely available under GNU Public Licence (GPL) from http://ism.dna.bio.keio.ac.jp.
Keywords :
bioinformatics; genomics; Qins method; RDPClassifler; accuracy evaluation; accurate taxonomic profiling; estimate taxonomic composition; fast taxonomic profiling; in silico microarray algorithm; microbial communities; short read sequences; simulated datasets; source code; Accuracy; Bioinformatics; Biological system modeling; Communities; Correlation; Genomics; Microorganisms; metagenomics; microbial community; next-generation sequencers; taxonomic profiling;
Conference_Titel :
Computational Advances in Bio and Medical Sciences (ICCABS), 2012 IEEE 2nd International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4673-1320-9
Electronic_ISBN :
978-1-4673-1319-3
DOI :
10.1109/ICCABS.2012.6182660
